code: def test_mmdet_bbox_models_fastai(
      self,
      ds,
      model_type,
      pretrained,
      cfg_options,
      samples_source,
      request,
  ):
      train_dl, valid_dl, model = self.dls_model(
          ds,
          model_type,
          pretrained,
          cfg_options,
          samples_source,
          request,
      )
  
      learn = model_type.fastai.learner(
          dls=[train_dl, valid_dl],
          model=model,
          splitter=fastai.trainable_params,
      )
      learn.fine_tune(1, 3e-4)
  
file_path: icevision/tests/models/mmdet/test_model.py
imports: import pytest
  import random
  from icevision.all import *
label_desc: Use image node_id 2 for calling the TestBboxModels obj's underlying member method code with example usage: obj.test_mmdet_bbox_models_fastai(ds, model_type, pretrained, cfg_options, samples_source, request) without return types